Results 11 to 20 of about 323 (124)

Document-level relation extraction based on sememe knowledge-enhanced abstract meaning representation and reasoning

Complex & Intelligent Systems, 2023
Document-level relation extraction is a challenging task in information extraction, as it involves identifying semantic relations between entities that are dispersed throughout a document.
Qihui Zhao, Tianhan Gao, Nan Guo
doaj   +2 more sources

Short Text Semantic Matching Strategy Fusing Sememe Similarity Matrix and Dual-channel of Char-Word Vectors [PDF]

Jisuanji kexue
The purpose of the short text semantic matching task is to judge whether the semantics of two short text sentences are consistent.However,many existing methods often have shortcomings such as insufficient semantic information of short text and inability ...
LIU Dongxu, DUAN Liguo, CUI Juanjuan, CHANG Xuanwei
doaj   +2 more sources

TextRank Keyword Extraction Algorithm Using Word Vector Clustering Based on Rough Data-Deduction.

Comput Intell Neurosci, 2022
When TextRank algorithm based on graph model constructs graph associative edges, the co‐occurrence window rules only consider the relationships between local terms. Using the information in the document itself is limited. In order to solve the above problems, an improved TextRank keyword extraction algorithm based on rough data reasoning combined with ...
Zhou N, Shi W, Liang R, Zhong N.
europepmc   +2 more sources

Retrieval of Semantic-Based Inspirational Sources for Emotional Design. [PDF]

Comput Intell Neurosci, 2018
In the conceptual design stage, inspirational sources play an important role in designers’ creative thinking. This paper proposes a retrieval method for semantic‐based inspirational sources, which helps designers obtain inspirational images in the conceptual design stage of emotional design.
Du J, Li Y, Ma J, Xiong Y, Li W.
europepmc   +2 more sources

Metaphor Recognition of English Learners Based on Machine Learning Algorithm

Wireless Communications and Mobile Computing, Volume 2022, Issue 1, 2022., 2022
The advantage of machine learning algorithm lies in predicting the semantic category of new language features according to the joint probability distribution of existing language features and their semantic categories. Based on a machine learning algorithm, this paper studies the metaphor recognition of English learners.
Xiaoling Fu, Xin Ning
wiley   +1 more source

Corpus‐Based Data Acquisition and Topic Analysis of Chinese‐Related Public Opinion in Western Media

Wireless Communications and Mobile Computing, Volume 2022, Issue 1, 2022., 2022
This paper sorts out and discusses the different methods used in the analysis of China‐related public opinion, builds a theoretical system of public opinion analysis methods on this basis, conducts case analysis and research on hot public opinion combined with corpus, and selects the semantic analysis method from the technical level supporting the ...
Xiulian Zhao, Kalidoss Rajakani
wiley   +1 more source

Chinese Online Language Dissemination from the Perspective of Mobile Information System

Mobile Information Systems, Volume 2022, Issue 1, 2022., 2022
The emergence of new media technology will inevitably bring new changes to people's daily communication. The development and change of society supports the development and change of language. Language networks are created and developed along with Internet applications. It is a new variant of the traditional language adapted to the new media environment
Xuan Hu, Yongjun Liu, Gopal Chaudhary
wiley   +1 more source

Key Information Extraction Algorithm of Different Types of Digital Archives for Cultural Operation and Management

Computational Intelligence and Neuroscience, Volume 2022, Issue 1, 2022., 2022
In order to improve the effect of key information extraction from digital archives, a key information extraction algorithm for different types of digital archives is designed. Preprocess digital archive information, taking part of speech and marks as key information.
Xiulun Ma, Baiyuan Ding
wiley   +1 more source

[Retracted] An English Writing Grammar Error Correction Technology Based on Similarity Algorithm

Security and Communication Networks, Volume 2022, Issue 1, 2022., 2022
Students are the focus of English writing instruction, which emphasizes their initiative and creativity in the classroom, fosters the development of their self‐directed learning and comprehensive language skills, raises their overall English level and mastery ability, and cultivates well‐rounded English learners.
Qingyu Li, Mukesh Soni
wiley   +1 more source

Design of Exercise Grading System Based on Text Similarity Computing

Mobile Information Systems, Volume 2022, Issue 1, 2022., 2022
Text similarity, as an important basis for scoring subjective items in the examination, directly determines the examination results of candidates and the work efficiency of teachers. Therefore, this paper first introduces the theoretical basis of text similarity computing and compares different calculation methods.
Miao Chen, Yazhou Dong, Le Sun
wiley   +1 more source